There exist limitations of local combinatorial explosion and only exponential distribution of spare nodes in Bayesian network(BN)-based dynamic fault tree(DFT) analysis method.First

an approach of mapping DFT into discrete-time BN is proposed in which a deterministic function instead of conditional probability tables is used to avoid local combinatorial explosion.Second

according to the failure mechanism and BN structure of spare door

we remove the limitation that the failure time of spare nodes in BN is only exponential distribution.Finally

an exact inference algorithm of DFT-based BN is presented and based on which the failure distribution of system and the importance measurement of components is calculated.Experimental results show that the proposed method can analyze and evaluate the probability characteristics of safety-critical systems effectively.